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Associate Statistical Programmer Jobs in Utah (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

... Statistics - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g ... Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

Peraton

Associate Systems Engineer

UT · On-site

$66K - $106K/yr

Our Nuclear Safety Cross Check Analysis (NSCCA) program is seeking an Associate Systems Engineer to ... Potentially work with system simulators and statistical analysis. * Review and analyze systems ...

Pwc

CTIO-AI Engineer-Sr Associate

Salt Lake City, UT

$55K - $187K/yr

... Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Albertsons

Industrial Engineer

Salt Lake City, UT

$67.70K - $91.40K/yr

Strong mathematical/statistical analysis skills including statistical analysis and simulation ... Associate discounts * Health and financial well-being benefits for eligible associates (Medical ...

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Associate Statistical Programmer information

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$76.9K

$134.1K

$226.7K

How much do associate statistical programmer jobs pay per year?

As of May 30, 2026, the average yearly pay for associate statistical programmer in Utah is $134,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $145,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Statistical Programmer, and why are they important?

To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.

How does an Associate Statistical Programmer typically collaborate with biostatisticians and data managers in clinical research projects?

As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.

What is an Associate Statistical Programmer?

An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.

What is the difference between Associate Statistical Programmer vs Statistical Programmer?

AspectAssociate Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skillsBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supporting senior programmers; often in clinical research or pharmaceutical companiesMore independent, handling complex analyses; similar industry settings
Employer & Industry UsageCommon in clinical trials, pharmaceutical, and biotech companiesUsed across similar industries, often as a step up from associate roles

The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.

What are the most commonly searched types of Statistical Programmer jobs in Utah? The most popular types of Statistical Programmer jobs in Utah are:
What are popular job titles related to Associate Statistical Programmer jobs in Utah? For Associate Statistical Programmer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Associate Statistical Programmer jobs in Utah look for? The top searched job categories for Associate Statistical Programmer jobs in Utah are:
What cities in Utah are hiring for Associate Statistical Programmer jobs? Cities in Utah with the most Associate Statistical Programmer job openings:
Associate Statistical Programmer jobs near you
Engineering-Salt Lake City-Associate, Quantitative Engineering-046336

Engineering-Salt Lake City-Associate, Quantitative Engineering-046336

Goldman Sachs

Salt Lake City, UT

Other

Posted 4 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Multiple positions available. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science/Engineering, Financial Engineering, Mathematical Finance, Applied Mathematics, Data Science, Operations Research or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science/Engineering, Financial Engineering, Mathematical Finance, Applied Mathematics, Data Science, Operations Research or related quantitative field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance. 

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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